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Analysis and Validation of the Main Control Room Staffing of the Xe-100 SMR

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Advances in Simulation and Digital Human Modeling (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 264))

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Abstract

X-Energy is currently designing an innovative concept of nuclear power reactor: the Xe-100. It is a Small Modular Reactor (SMR) based in High Temperature Gas Cooled Reactor (HTGR) technology and it is currently under licensing process in the United States and Canada. In addition to the generic goals, the Xe-100 Human Factors Engineering (HFE) Program is conducted to provide evidence that a reduced staffing can safely operate several reactor modules from one control room. Advanced reactor designs are changing tasks, jobs, roles, responsibilities, size and composition of the operation crews relying on the increased use of automation technologies, passive safety features and adapted control stations designs. This paper explores the details and insights of analysis and validation activities of the HFE Program, providing the key-aspects to succeed in the Staffing Validation.

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Acknowledgments

To my family and to the X-Energy and Tecnatom teams involved in the development of a new era of reactors, for a clean and reliable world’s energy future.

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Authors and Affiliations

  1. TECNATOM S.A., Avda. Montes de Oca 1, San Sebastián de Los Reyes, Madrid, Spain

    Borja Hervás & Luis Rejas

Authors
  1. Borja Hervás
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  2. Luis Rejas
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Corresponding author

Correspondence to Borja Hervás .

Editor information

Editors and Affiliations

  1. U.S. Army Research Laboratory, Orlando, FL, USA

    Julia L. Wright

  2. Soar Tech, Orlando, FL, USA

    Daniel Barber

  3. Department of Product Development, University of Antwerp, Antwerp, Belgium

    Sofia Scataglini

  4. Biomedical Research and Environmental, NASA Lyndon Johnson Space Center, Houston, TX, USA

    Sudhakar L. Rajulu

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Hervás, B., Rejas, L. (2021). Analysis and Validation of the Main Control Room Staffing of the Xe-100 SMR. In: Wright, J.L., Barber, D., Scataglini, S., Rajulu, S.L. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2021. Lecture Notes in Networks and Systems, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-030-79763-8_22

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